title: Impact of image preprocessing methods on polyp localization in colonoscopy frames.
abstract: In this paper we present our image preprocessing methods as a key part of our automatic polyp localization scheme. These methods are used to assess the impact of different endoluminal scene elements when characterizing polyps. More precisely we tackle the influence of specular highlights, blood vessels and black mask surrounding the scene. Experimental results prove that the appropriate handling of these elements leads to a great improvement in polyp localization results.
authors.forename: Jorge
authors.initials: J
authors.lastname: Bernal
authors.forename: Javier
authors.initials: J
authors.lastname: Sánchez
authors.forename: Fernando
authors.initials: F
authors.lastname: Vilariño
mesh_terms: D000465:Algorithms; D001808:Blood Vessels / Q000473:pathology; D003110:Colonic Neoplasms / Q000098:blood supply; D003111:Colonic Polyps / Q000175:diagnosis*; D003113:Colonoscopy / Q000295:instrumentation* / Q000379:methods*; D001330:Electronic Data Processing; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012984:Software